Computational statistics and data analysis ranking

Is computational statistics useful?
They are often used in physical and mathematical problems and are most useful when it is difficult to use other approaches.
Monte Carlo methods are mainly used in three problem classes: optimization, numerical integration, and generating draws from a probability distribution..
What is the difference between computational statistics and data science?
The main difference between computational statistics and data science is that computational statistics is a subarea of scientific computing that follows scientific rigor, but data science is a field in which data scientists tend to be satisfied with accepting any method that offers the best business value..
Ranking in statistics and data analysis refers to ordering data points from least to greatest (or vice versa) and giving each data point an ordinal number (i.e. 1, 2, 3, ).

Based on the Scopus data, the SCImago Journal Rank (SJR) of Computational Statistics and Data Analysis is 0.877.

The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles.

Is computational statistics useful?